Summary of 1_DecisionTree
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Decision Tree
- n_jobs: -1
- criterion: gini
- max_depth: 3
- explain_level: 2
Validation
- validation_type: split
- train_ratio: 0.75
- shuffle: True
- stratify: True
Optimized metric
logloss
Training time
7.0 seconds
Metric details
|
score |
threshold |
| logloss |
0.377679 |
nan |
| auc |
0.890856 |
nan |
| f1 |
0.87619 |
0.357441 |
| accuracy |
0.846457 |
0.357441 |
| precision |
0.936752 |
0.943787 |
| recall |
1 |
0.0715385 |
| mcc |
0.677622 |
0.357441 |
Metric details with threshold from accuracy metric
|
score |
threshold |
| logloss |
0.377679 |
nan |
| auc |
0.890856 |
nan |
| f1 |
0.87619 |
0.357441 |
| accuracy |
0.846457 |
0.357441 |
| precision |
0.907895 |
0.357441 |
| recall |
0.846626 |
0.357441 |
| mcc |
0.677622 |
0.357441 |
Confusion matrix (at threshold=0.357441)
|
Predicted as CONFIRMED |
Predicted as FALSE POSITIVE |
| Labeled as CONFIRMED |
385 |
70 |
| Labeled as FALSE POSITIVE |
125 |
690 |
Learning curves

Decision Tree
Tree #1
Rules
if (koi_count <= 1.5) and (koi_fwm_stat_sig <= 0.002) and (koi_smet <= 0.09) then class: FALSE POSITIVE (proba: 94.64%) | based on 1,679 samples
if (koi_count > 1.5) and (koi_dikco_msky <= 1.73) and (koi_prad <= 15.2) then class: CONFIRMED (proba: 92.05%) | based on 780 samples
if (koi_count <= 1.5) and (koi_fwm_stat_sig > 0.002) and (koi_dikco_msky <= 1.055) then class: CONFIRMED (proba: 64.26%) | based on 719 samples
if (koi_count <= 1.5) and (koi_fwm_stat_sig > 0.002) and (koi_dikco_msky > 1.055) then class: FALSE POSITIVE (proba: 93.98%) | based on 299 samples
if (koi_count <= 1.5) and (koi_fwm_stat_sig <= 0.002) and (koi_smet > 0.09) then class: FALSE POSITIVE (proba: 70.33%) | based on 209 samples
if (koi_count > 1.5) and (koi_dikco_msky > 1.73) and (koi_count <= 2.5) then class: FALSE POSITIVE (proba: 97.26%) | based on 73 samples
if (koi_count > 1.5) and (koi_dikco_msky <= 1.73) and (koi_prad > 15.2) then class: FALSE POSITIVE (proba: 94.12%) | based on 34 samples
if (koi_count > 1.5) and (koi_dikco_msky > 1.73) and (koi_count > 2.5) then class: CONFIRMED (proba: 62.5%) | based on 16 samples
Permutation-based Importance

Confusion Matrix

Normalized Confusion Matrix

ROC Curve

Kolmogorov-Smirnov Statistic

Precision-Recall Curve

Calibration Curve

Cumulative Gains Curve

Lift Curve

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